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Contourlet Domain Multiband Deblurring Based on Color Correlation for Fluid Lens Cameras

机译:基于颜色相关的Contourlet域多波段去模糊的流体镜头相机

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Due to the novel fluid optics, unique image processing challenges are presented by the fluidic lens camera system. Developed for surgical applications, unique properties, such as no moving parts while zooming and better miniaturization than traditional glass optics, are advantages of the fluid lens. Despite these abilities, sharp color planes and blurred color planes are created by the nonuniform reaction of the liquid lens to different color wavelengths. Severe axial color aberrations are caused by this reaction. In order to deblur color images without estimating a point spread function, a contourlet filter bank system is proposed. Information from sharp color planes is used by this multiband deblurring method to improve blurred color planes. Compared to traditional Lucy-Richardson and Wiener deconvolution algorithms, significantly improved sharpness and reduced ghosting artifacts are produced by a previous wavelet-based method. Directional filtering is used by the proposed contourlet-based system to adjust to the contours of the image. An image is produced by the proposed method which has a similar level of sharpness to the previous wavelet-based method and has fewer ghosting artifacts. Conditions for when this algorithm will reduce the mean squared error are analyzed. While improving the blue color plane by using information from the green color plane is the primary focus of this paper, these methods could be adjusted to improve the red color plane. Many multiband systems such as global mapping, infrared imaging, and computer assisted surgery are natural extensions of this work. This information sharing algorithm is beneficial to any image set with high edge correlation. Improved results in the areas of deblurring, noise reduction, and resolution enhancement can be produced by the proposed algorithm.
机译:由于新颖的流体光学系统,流体镜头相机系统提出了独特的图像处理挑战。流体透镜的优点是为手术应用而开发,其独特的特性(例如在变焦时没有活动部件,并且比传统的玻璃光学器件更好的小型化)是其优势。尽管具有这些能力,但是由于液体透镜对不同颜色波长的不均匀反应而产生了锐利的色彩平面和模糊的色彩平面。该反应引起严重的轴向色差。为了在不估计点扩展函数的情况下对彩色图像进行模糊处理,提出了轮廓波滤波器组系统。该多频带去模糊方法使用了来自清晰彩色平面的信息来改善模糊的彩色平面。与传统的Lucy-Richardson和Wiener反卷积算法相比,以前基于小波的方法可以显着提高清晰度,并减少重影伪影。所提出的基于轮廓波的系统使用方向滤波来调整图像的轮廓。通过提出的方法产生的图像具有与先前的基于小波的方法相似的清晰度水平并且具有更少的重影伪影。分析了何时该算法将减小均方误差的条件。尽管通过使用来自绿色平面的信息来改善蓝色平面是本文的主要重点,但是可以对这些方法进行调整以改善红色平面。诸如全球制图,红外成像和计算机辅助手术等许多多频段系统是这项工作的自然延伸。这种信息共享算法对于任何具有高边缘相关性的图像集都是有益的。所提出的算法可以在去模糊,降噪和分辨率增强方面产生改进的结果。

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